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  1. .gitattributes +19 -0
  2. DATASET_CARD.md +64 -0
  3. LICENSE.txt +37 -0
  4. README.md +124 -0
  5. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_1.jpg +3 -0
  6. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_ao.png +3 -0
  7. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_basecolor_diffuse.png +3 -0
  8. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_glossiness.png +3 -0
  9. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_height.tif +3 -0
  10. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_ior.png +3 -0
  11. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_metallic.png +3 -0
  12. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_normal.png +3 -0
  13. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_normal_opengl.png +3 -0
  14. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_reflection.png +3 -0
  15. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_roughness.png +3 -0
  16. beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_specular.png +3 -0
  17. beige_patterned_stone_tiles_74_17_2K/metadata.json +181 -0
  18. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_1.jpg +3 -0
  19. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_ao.png +3 -0
  20. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_basecolor_diffuse.png +3 -0
  21. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_glossiness.png +3 -0
  22. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_height.tif +3 -0
  23. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_ior.png +3 -0
  24. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_metallic.png +3 -0
  25. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_normal.png +3 -0
  26. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_normal_opengl.png +3 -0
  27. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_reflection.png +3 -0
  28. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_roughness.png +3 -0
  29. beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_specular.png +3 -0
  30. beige_patterned_stone_wall_74_15_2K/metadata.json +175 -0
  31. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_1.jpg +3 -0
  32. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_ao.png +3 -0
  33. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_basecolor_diffuse.png +3 -0
  34. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_glossiness.png +3 -0
  35. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_height.tif +3 -0
  36. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_ior.png +3 -0
  37. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_metallic.png +3 -0
  38. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_normal.png +3 -0
  39. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_normal_opengl.png +3 -0
  40. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_reflection.png +3 -0
  41. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_roughness.png +3 -0
  42. beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_specular.png +3 -0
  43. beige_patterned_stone_wall_74_16_2K/metadata.json +176 -0
  44. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_1.jpg +3 -0
  45. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_ao.png +3 -0
  46. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_basecolor_diffuse.png +3 -0
  47. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_glossiness.png +3 -0
  48. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_height.tif +3 -0
  49. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_ior.png +3 -0
  50. black_brick_tiles_67_61_2K/black_brick_tiles_67_61_metallic.png +3 -0
.gitattributes CHANGED
@@ -58,3 +58,22 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # Video files - compressed
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  *.mp4 filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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+ beige_patterned_stone_tiles_74_17_2K/beige_patterned_stone_tiles_74_17_height.tif filter=lfs diff=lfs merge=lfs -text
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+ beige_patterned_stone_wall_74_15_2K/beige_patterned_stone_wall_74_15_height.tif filter=lfs diff=lfs merge=lfs -text
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+ beige_patterned_stone_wall_74_16_2K/beige_patterned_stone_wall_74_16_height.tif filter=lfs diff=lfs merge=lfs -text
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+ black_brick_tiles_67_61_2K/black_brick_tiles_67_61_height.tif filter=lfs diff=lfs merge=lfs -text
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+ black_stone_slabs_58_69_2K/black_stone_slabs_58_69_height.tif filter=lfs diff=lfs merge=lfs -text
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+ black_stone_wall_67_92_2K/black_stone_wall_67_92_height.tif filter=lfs diff=lfs merge=lfs -text
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+ black_stone_wall_67_93_2K/black_stone_wall_67_93_height.tif filter=lfs diff=lfs merge=lfs -text
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+ black_stone_wall_73_21_2K/black_stone_wall_73_21_height.tif filter=lfs diff=lfs merge=lfs -text
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+ blue_painted_brick_wall_59_60_2K/blue_painted_brick_wall_59_60_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_brick_wall_73_84_2K/brown_brick_wall_73_84_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_brick_wall_73_85_2K/brown_brick_wall_73_85_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_irregular_stone_pavement_58_70_2K/brown_irregular_stone_pavement_58_70_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_rock_bricks_58_83_2K/brown_rock_bricks_58_83_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_square_stone_pavement_58_71_2K/brown_square_stone_pavement_58_71_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_stone_bricks_59_34_2K/brown_stone_bricks_59_34_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_wet_stone_pavement_59_66_2K/brown_wet_stone_pavement_59_66_height.tif filter=lfs diff=lfs merge=lfs -text
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+ brown_wet_stone_pavement_59_67_2K/brown_wet_stone_pavement_59_67_height.tif filter=lfs diff=lfs merge=lfs -text
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+ cobblestone_pavement_59_62_2K/cobblestone_pavement_59_62_height.tif filter=lfs diff=lfs merge=lfs -text
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+ cobblestone_pavement_59_63_2K/cobblestone_pavement_59_63_height.tif filter=lfs diff=lfs merge=lfs -text
DATASET_CARD.md ADDED
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+ # CGAxis PBR Materials - Brick Wall
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+
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+ PBR material dataset (category: Brick Wall). Fully-owned CGAxis IP, human-made in-house since 2008. Each material is a consistent set of maps with explicit color space, resolution and real-world scale, plus dataset-level metadata (MLCommons Croissant).
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+
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+ Sets in this package: 100.
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+
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+ ## Contents
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+
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+ | Property | Value |
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+ |---|---|
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+ | Sets | 100 |
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+ | Complete (PBR core) | 100 / 100 |
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+ | With real_world_size_cm | 100 / 100 |
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+ | Resolutions | 2048x2048=100 |
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+ | Base color format | png=100 |
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+
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+ ## Workflow
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+
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+ | Workflow | Sets |
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+ |---|---|
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+ | metallic_roughness + specular_glossiness | 100 |
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+
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+ ## Categories
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+
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+ | Subcategory | Sets |
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+ |---|---|
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+ | Brick Wall | 100 |
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+
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+ ## Map coverage
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+
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+ | Map | Sets |
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+ |---|---|
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+ | ao | 100 |
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+ | basecolor | 100 |
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+ | glossiness | 100 |
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+ | height | 100 |
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+ | ior | 100 |
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+ | metallic | 100 |
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+ | normal | 100 |
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+ | normal_opengl | 100 |
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+ | reflection | 100 |
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+ | roughness | 100 |
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+ | specular | 100 |
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+
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+ ## Enrichment and integrity
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+
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+ | Feature | Coverage |
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+ |---|---|
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+ | Per-file SHA-256 (integrity) | 100 / 100 |
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+ | Bit depth / channels per map | yes (8-bit maps, 16-bit height) |
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+ | Natural-language caption | 100 / 100 |
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+ | Structured attributes (material/color/...) | 100 / 100 |
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+
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+ ## Compliance
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+
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+ Every set carries a machine-readable `compliance` block (vendor assertions): `human_authored=true`, `ai_generated=false`, `contains_pii=false`, `contains_trademarks_or_logos=false`, `web_scraped=false`, plus a `training_data_summary` for EU AI Act transparency. A loadable `croissant.json` (MLCommons Croissant 1.0) is included.
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+
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+ ## Package files
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+
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+ DATASET_CARD.md, LICENSE.txt, croissant.json, materials_index.json (with `split` field), materials_index.csv, splits.json + train.txt/test.txt, previews/ + contact_sheet.png (if generated).
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+
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+ ## License
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+
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+ Free Sample License (see LICENSE.txt): evaluation and prototyping only, non-production, no redistribution, provided "as is" without warranty or indemnification. The full corpus is licensed for production training with an IP warranty and full indemnification - available on request at https://cgaxis.com/ai-data-license/
LICENSE.txt ADDED
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+ CGAxis AI Data - Free Sample License (evaluation & prototyping, non-production)
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+
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+ This sample ("Pack") is provided free of charge for technical evaluation and
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+ prototyping only. By downloading or using it you agree to the following terms.
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+
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+ 1. PURPOSE. You may use this Pack solely to evaluate the quality, structure and
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+ suitability of CGAxis 3D model and PBR material data for your machine learning
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+ pipeline, and to build internal prototypes and proofs of concept (internal
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+ testing, benchmarking, experimentation and technical due diligence).
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+
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+ 2. NO PRODUCTION USE. You may not use this Pack, or any model trained wholly or in
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+ part on it, in any commercial or production product, service, or released model.
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+ Training data for models placed into commercial production requires a separate
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+ commercial license (Category Pack, Full Corpus or Exclusive) from CGAxis.
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+
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+ 3. NO AGGREGATION. This Pack is a limited sample, not a substitute for a licensed
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+ dataset. You may not combine, stack or aggregate this Pack with other CGAxis
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+ sample packs - across categories, accounts, orders or time - to assemble a
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+ larger or training-scale corpus.
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+
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+ 4. NO REDISTRIBUTION. You may not redistribute, resell, publish or share the raw
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+ Pack assets or any material part of them, or remove any provenance, metadata,
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+ checksum or license information.
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+
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+ 5. OWNERSHIP. The Pack and all intellectual property rights in it remain the
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+ exclusive property of CGAxis. All rights not expressly granted are reserved.
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+
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+ 6. TERM. This license is valid for 30 days from download. After that you must
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+ delete the Pack, unless you have entered into a commercial license with CGAxis.
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+
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+ 7. NO WARRANTY; NO INDEMNIFICATION. The Pack is provided "as is" for evaluation and
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+ prototyping, without warranties and without indemnification. The commercial
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+ licenses (Category Pack, Full Corpus, Exclusive) include an IP warranty and full
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+ indemnification.
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+
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+ Full corpus, category packs and commercial licensing:
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+ CGAxis - https://cgaxis.com/ai-training-data/
README.md ADDED
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+ ---
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+ license: other
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+ license_name: cgaxis-ai-data-eval-license
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+ license_link: https://cgaxis.com/ai-data-license/
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+ pretty_name: CGAxis PBR Materials - Free Sample (Brick, Stone & Concrete)
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+ task_categories:
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+ - image-to-image
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+ - text-to-image
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+ - image-feature-extraction
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+ tags:
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+ - 3d
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+ - pbr
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+ - materials
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+ - svbrdf
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+ - texture
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+ - displacement
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+ - brick
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+ - stone
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+ - concrete
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+ - computer-graphics
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+ - croissant
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+ - licensed-data
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+ - real-world-scale
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: metadata
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+ data_files: materials_index.csv
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+ ---
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+
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+ # CGAxis PBR Materials - Free Sample (Brick, Stone & Concrete)
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+
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+ A **free, licensed** sample of human-authored PBR material sets from [CGAxis](https://cgaxis.com), a 3D content studio operating since 2008. This sample is a taster of the full **CGAxis AI Data** corpus (7,794 PBR material sets + 4,390 3D models) available for commercial AI-training licenses.
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+
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+ Every material ships as a complete, consistently named **set of maps** with explicit color space, bit depth and real-world scale, plus per-set `metadata.json` with per-file SHA-256 and a dataset-level **MLCommons Croissant** file for direct loading into ML pipelines.
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+
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+ ## Why this dataset is different
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+
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+ Most 3D/PBR training data is a flat pile of texture images scraped or dumped under contested or CC0 terms, with no consistent structure. This one is not:
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+
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+ - **Coherent SVBRDF training pairs, not loose images.** Every set ships the same map types, so it is ready ground truth for material estimation and generation - not a bag of unlabelled textures.
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+ - **Both workflows, both normal conventions.** Metallic-roughness **and** specular-glossiness, OpenGL **and** DirectX normals, for every set. A superset of what typical PBR sets provide.
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+ - **16-bit displacement + real-world scale.** 16-bit TIFF height and a real-world tile size (2 x 2 m) for every set - most texture dumps carry neither.
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+ - **Single owner, clean provenance.** Human-authored in-house by CGAxis since 2008. No scraping, no unknown rights.
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+ - **AI-native.** Per-set `metadata.json` with per-file SHA-256, bit depth and channels, plus a dataset-level `croissant.json` and a deterministic train/test split.
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+
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+ ## This sample
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+
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+ | Property | Value |
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+ |---|---|
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+ | Material sets | 100 (brick, stone, concrete, cobblestone and pavement surfaces) |
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+ | Resolution | 2048 x 2048 (2K) |
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+ | Maps | base color, normal (GL + DX), roughness, glossiness, metallic, specular, AO, IOR, reflection, height |
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+ | Height / displacement | 16-bit TIFF (98 / 100; 2 as PNG) |
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+ | Workflows | metallic-roughness and specular-glossiness (both provided) |
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+ | Real-world tile size | 200 x 200 cm, all sets |
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+ | Base color format | PNG (lossless), 100 / 100 |
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+ | Per-file SHA-256 | 100 / 100 |
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+ | Caption + attributes | 100 / 100 |
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+ | Split | 95 train / 5 test (deterministic, seed `cgaxis-3d-v1`) |
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+
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+ ## Intended uses
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+
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+ Training and evaluating material- and geometry-aware models: **text-to-material**, **SVBRDF estimation**, **PBR / texture synthesis**, displacement-aware and seamless-texture models, and the material component of text-to-3D pipelines.
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+
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+ ## Load the metadata (Croissant)
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+
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+ ```python
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+ import mlcroissant as mlc
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+ ds = mlc.Dataset("croissant.json")
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+ records = list(ds.records(record_set="materials"))
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+ ```
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+
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+ Or read `materials_index.json` directly (full per-set records, including maps, colorspace, bit depth, real-world size, tags, caption and the `split` field).
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+
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+ ## Structure
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+
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+ ```
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+ / # one folder per material set
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+ <set_name>/
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+ <set_name>_basecolor_diffuse.png
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+ <set_name>_normal.png / _normal_opengl.png # DirectX + OpenGL
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+ <set_name>_roughness.png / _glossiness.png
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+ <set_name>_metallic.png / _specular.png
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+ <set_name>_ao.png / _ior.png / _reflection.png
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+ <set_name>_height.tif # 16-bit
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+ <set_name>_1.jpg # preview render
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+ metadata.json # per-set, with per-file sha256 + bit depth
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+ materials_index.json / materials_index.csv # all sets (JSON has the split field; CSV backs Croissant)
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+ croissant.json # MLCommons Croissant 1.0 (loadable)
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+ splits.json + train.txt / test.txt # deterministic train/test split
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+ previews/ + contact_sheet.png # per-set preview thumbnails + montage
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+ DATASET_CARD.md # plain-text summary
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+ LICENSE.txt # this sample's license (evaluation only)
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+ ```
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+
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+ ## Compliance (EU AI Act)
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+
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+ Every set carries a machine-readable `compliance` block (vendor assertions): `human_authored=true`, `ai_generated=false`, `contains_pii=false`, `contains_trademarks_or_logos=false`, `web_scraped=false`, plus a `training_data_summary` - so training-data documentation is trivial. CGAxis is an EU company.
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+
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+ ## License
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+
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+ Free for **internal evaluation and prototyping** under the CGAxis AI Data Free Sample License (see `LICENSE.txt`). This sample is for assessing quality, format and metadata, and building internal proofs of concept - **not** for training models you ship or sell, and it comes **without** warranty or indemnification.
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+
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+ ## License the full corpus (7,794 PBR sets + 4,390 3D models)
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+
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+ Production training - with an **IP warranty and full indemnification** - is licensed per Category Pack, Full Corpus or Exclusive tier.
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+
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+ - PBR materials: 2K / 4K / 8K, metallic-roughness and specular-glossiness, GL + DX normals, 16-bit displacement, real-world tile size.
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+ - 3D models: GLB + USDZ, real-world scale in cm, clean UVs, Croissant + per-file SHA-256.
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+ - EU AI Act training-data summary, deterministic train/test splits.
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+
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+ **Request a quote or a larger sample:** [cgaxis.com/ai-training-data](https://cgaxis.com/ai-training-data/)
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+
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+ ## Citation
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+
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+ ```
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+ @misc{cgaxis_ai_data_pbr_2026,
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+ title = {CGAxis AI Data: Licensed PBR Materials and 3D Models for AI Training},
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+ author = {CGAxis (DTS S.C.)},
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+ year = {2026},
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+ url = {https://cgaxis.com/ai-training-data/}
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+ }
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+ ```
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